Enhanced hourly temperature prediction using advanced ensemble neural networks for energy system efficiency optimization in hyper-arid regions

Enhanced hourly temperature prediction using advanced ensemble neural networks for energy system efficiency optimization in hyper-arid regions

This paper presents advanced techniques for air temperature forecasting based on the relationship between meteorological variables and feedforward neural network models aimed at improving prediction accuracy. An optimal single neural network model was developed, and optimization through dataset part...

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Main Authors: Abdennasser Dahmani, Ikram Kouidri, Nadjem Bailek, Lotfi Mouni, Shabana Urooj, Jihad A. Younis, Bilel Zerouali, El-Sayed M El-Kenawy, Celso Augusto Guimarães Santos, Abdel-Nasser Sharkawy
Format: Article
Language:English
Published: AIP Publishing LLC 2025-04-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/5.0257671
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